A unique investigation of the state of the art in design,
architectures, and implementations of advanced computational
infrastructures and the applications they support

Emerging large-scale adaptive scientific and engineering
applications are requiring an increasing amount of computing and
storage resources to provide new insights into complex systems. Due
to their runtime adaptivity, these applications exhibit complicated
behaviors that are highly dynamic, heterogeneous, and
unpredictable—and therefore require full-fledged
computational infrastructure support for problem solving, runtime
management, and dynamic partitioning/balancing. This book presents
a comprehensive study of the design, architecture, and
implementation of advanced computational infrastructures as well as
the adaptive applications developed and deployed using these
infrastructures from different perspectives, including system
architects, software engineers, computational scientists, and
application scientists. Providing insights into recent research
efforts and projects, the authors include descriptions and
experiences pertaining to the realistic modeling of adaptive
applications on parallel and distributed systems.

The first part of the book focuses on high-performance adaptive
scientific applications and includes chapters that describe
high-impact, real-world application scenarios in order to motivate
the need for advanced computational engines as well as to outline
their requirements. The second part identifies popular and widely
used adaptive computational infrastructures. The third part focuses
on the more specific partitioning and runtime management schemes
underlying these computational toolkits.

Provides a unique collection of selected solutions and
infrastructures that have significant impact with sufficient
introductory materials

Includes descriptions and experiences pertaining to the
realistic modeling of adaptive applications on parallel and
distributed systems

The cross-disciplinary approach of this reference delivers a
comprehensive discussion of the requirements, design challenges,
underlying design philosophies, architectures, and
implementation/deployment details of advanced computational
infrastructures. It makes it a valuable resource for advanced
courses in computational science and software/systems engineering
for senior undergraduate and graduate students, as well as for
computational and computer scientists, software developers, and
other industry professionals.

Manish Parashar, PhD, is Professor of Electrical and
Computer Engineering at Rutgers University, where he is also the
director of the Applied Software Systems Laboratory and director of
the NSF Center for Autonomic Computing. He has received numerous
awards, including the Rutgers Board of Trustees Award for
Excellence in Research (2004-2005) and the NSF CAREER Award (1999).

Xiaolin Li, PhD, is Assistant Professor of Computer
Science at Oklahoma State University.

"This edited volume brings together a high-powered list of experts mostly from leading research instates and universities in the US to deal, with the various aspects of parallel and distributed computing. It shall be valued greatly all over the world. Written in a reasoned and intelligible manner, it shall have an assured place in the parallel and distributed computing library where it should be accessible to any readerwith a solid background in the subject." (Current Engineering Practice, 1 November 2010)

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